As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying ... Present recommendations in a confident manner in order to influence execution of recommendation;
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying ... Present recommendations in a confident manner in order to influence execution of recommendation;
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying ... Present recommendations in a confident manner in order to influence execution of recommendation;
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying ... Present recommendations in a confident manner in order to influence execution of recommendation;
Data Scientist
Atlanta, GA · On-site
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying ... Present recommendations in a confident manner in order to influence execution of recommendation;
Data Scientist
Atlanta, GA · On-site
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying ... Present recommendations in a confident manner in order to influence execution of recommendation;
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying ... Present recommendations in a confident manner in order to influence execution of recommendation;
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying ... Present recommendations in a confident manner in order to influence execution of recommendation;
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying ... Present recommendations in a confident manner in order to influence execution of recommendation;
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying ... Present recommendations in a confident manner in order to influence execution of recommendation;
Data Scientist - People Analytics
Atlanta, GA · On-site +1
As a Data Scientist, you will apply advanced analytics methods, machine learning algorithms, and ... Present recommendations in a confident manner in order to influence execution of recommendation;
Data Scientist - People Analytics
Atlanta, GA · On-site +1
As a Data Scientist, you will apply advanced analytics methods, machine learning algorithms, and ... Present recommendations in a confident manner in order to influence execution of recommendation;
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying ... Present recommendations in a confident manner in order to influence execution of recommendation;
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying ... Present recommendations in a confident manner in order to influence execution of recommendation;
Online Data Engineer
Atlanta, GA · On-site
$108K - $130K/yr
They acquire datasets that align with business needs and develop algorithms to transform data into ... Present recommendations in a confident manner in order to influence execution of recommendation.
Online Data Engineer
Atlanta, GA · On-site
$108K - $130K/yr
They acquire datasets that align with business needs and develop algorithms to transform data into ... Present recommendations in a confident manner in order to influence execution of recommendation.
Online Data Engineer
Atlanta, GA · On-site
$108K - $130K/yr
They acquire datasets that align with business needs and develop algorithms to transform data into ... Present recommendations in a confident manner in order to influence execution of recommendation.
Online Data Engineer
Atlanta, GA · On-site
$108K - $130K/yr
They acquire datasets that align with business needs and develop algorithms to transform data into ... Present recommendations in a confident manner in order to influence execution of recommendation.
Senior Java Developer, Risk
Atlanta, GA · On-site
$90 - $150/hr
... quantitative algorithms, and cutting-edge technologies. Your contributions will directly impact ... Collaborate with business analysts and QA analysts in the design and execution of business feature ...
Senior Java Developer, Risk
Atlanta, GA · On-site
$90 - $150/hr
... quantitative algorithms, and cutting-edge technologies. Your contributions will directly impact ... Collaborate with business analysts and QA analysts in the design and execution of business feature ...
Senior Java Developer, Risk
Atlanta, GA · On-site
$55 - $70.25/hr
... quantitative algorithms, and cutting-edge technologies. Your contributions will directly impact ... Collaborate with business analysts and QA analysts in the design and execution of business feature ...
Senior Java Developer, Risk
Atlanta, GA · On-site
$55 - $70.25/hr
... quantitative algorithms, and cutting-edge technologies. Your contributions will directly impact ... Collaborate with business analysts and QA analysts in the design and execution of business feature ...
Senior Java Developer, Risk
Atlanta, GA · On-site
$55 - $70.25/hr
... quantitative algorithms, and cutting-edge technologies. Your contributions will directly impact ... Collaborate with business analysts and QA analysts in the design and execution of business feature ...
Senior Java Developer, Risk
Atlanta, GA · On-site
$55 - $70.25/hr
... quantitative algorithms, and cutting-edge technologies. Your contributions will directly impact ... Collaborate with business analysts and QA analysts in the design and execution of business feature ...
Solutions Architect Manager
Atlanta, GA · On-site
$59.75 - $78.75/hr
... performance, execution, and contribution; Attract, retain and develop top talent to build an ... Support team in the design and development of algorithms and models to use against large datasets ...
Solutions Architect Manager
Atlanta, GA · On-site
$59.75 - $78.75/hr
... performance, execution, and contribution; Attract, retain and develop top talent to build an ... Support team in the design and development of algorithms and models to use against large datasets ...
... performance, execution, and contribution. Attract, retain and develop top talent to build an ... Support team in the design and development of algorithms and models to use against large datasets ...
... performance, execution, and contribution. Attract, retain and develop top talent to build an ... Support team in the design and development of algorithms and models to use against large datasets ...
Algorithmic Execution Quant information
What does an algorithmic execution quant do?
An Algorithmic Execution Quant is responsible for designing, developing, and optimizing algorithms that execute large financial trades efficiently and at minimal cost. They analyze market microstructure, create models to predict market impact, and work closely with traders and engineers to implement these strategies in real-time trading systems. Their work is essential in minimizing transaction costs and improving trade execution quality for their firm.
What are some common challenges faced by algorithmic execution quants when developing and deploying trading algorithms?
Algorithmic Execution Quants often encounter challenges such as adapting strategies to rapidly changing market conditions, managing latency and slippage, and ensuring compliance with regulatory requirements. They must also balance the need for innovation with the necessity for robust risk controls and system reliability. Collaboration with traders, developers, and risk managers is essential to refine algorithms and ensure they perform optimally in live trading environments.
What are the key skills and qualifications needed to thrive as an algorithmic execution quant, and why are they important?
To thrive as an Algorithmic Execution Quant, you need a strong background in quantitative analysis, programming (often in Python or C++), and a solid understanding of financial markets, typically supported by an advanced degree in a quantitative discipline. Proficiency with statistical modeling tools, trading platforms, and market data systems, as well as familiarity with technologies like FIX protocol, is crucial. Strong problem-solving ability, attention to detail, and effective communication help you collaborate across trading, research, and technology teams. These skills are essential for designing, optimizing, and maintaining robust trading algorithms that achieve best execution and mitigate risk in fast-moving markets.
What is the difference between Algorithmic Execution Quant vs Quantitative Trader?
| Aspect | Algorithmic Execution Quant | Quantitative Trader |
|---|---|---|
| Primary Focus | Developing and implementing algorithms for trade execution to minimize market impact | Creating trading strategies to generate alpha and profit from market movements |
| Work Environment | Quantitative research teams, trading desks, technology-driven | Trading floors, portfolio management teams, research departments |
| Required Skills | Programming, market microstructure, execution algorithms | Quantitative modeling, market analysis, strategy development |
While both roles involve quantitative skills, an Algorithmic Execution Quant specializes in optimizing trade execution processes, whereas a Quantitative Trader focuses on developing strategies to generate profits. The roles often collaborate but serve different functions within trading firms.
What are popular job titles related to Algorithmic Execution Quant jobs in Georgia?
For Algorithmic Execution Quant jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Algorithmic Execution Quant jobs in Georgia look for?
The top searched job categories for Algorithmic Execution Quant jobs in Georgia are:
What cities in Georgia are hiring for Algorithmic Execution Quant jobs?
Cities in Georgia with the most Algorithmic Execution Quant job openings:
Key responsibilities
Design and develop algorithms and models to extract business insights from large datasets.
Effectively communicate insights and recommendations to technical and non-technical audiences.
Collaborate with business partners and cross-functional teams to determine project goals.
Home Depot rating
7.4
Based on 6,486 frontline employees who took The Breakroom Quiz
5th of 39 rated national retailers
Job description
With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
Key Responsibilities:
Direct Manager/Direct Reports:
Travel Requirements:
Physical Requirements:
Working Conditions:
Minimum Qualifications:
Preferred Qualifications:
Minimum Education:
Preferred Education:
Minimum Years of Work Experience:
Preferred Years of Work Experience:
Minimum Leadership Experience:
Preferred Leadership Experience:
Certifications:
Competencies:
Position Purpose:
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
Key Responsibilities:
- 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
- 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
- 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
- 15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented
Direct Manager/Direct Reports:
- This position typically reports to Manager or above
- This position has 0 Direct Reports
Travel Requirements:
- Typically requires overnight travel less than 10% of the time.
Physical Requirements:
- Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions:
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications:
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
Preferred Qualifications:
- Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
- 4+ years of experience in business intelligence and analytics
- Working knowledge of Microsoft Excel and Power Point
- Experience in a modern scripting language (preferably Python)
- Proficient running queries against data (preferably with Google BigQuery or SQL)
- Proficient with data visualization software (preferably Tableau)
- Proficient utilizing statistical techniques to identify key insights that help solve business problems
- Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
- Demonstrated experience in predictive modeling, data mining and data analysis
Minimum Education:
- The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Preferred Education:
- No additional education
Minimum Years of Work Experience:
- 3
Preferred Years of Work Experience:
- No additional years of experience
Minimum Leadership Experience:
- None
Preferred Leadership Experience:
- None
Certifications:
- None
Competencies:
- Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
- Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
- Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
- Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
- Customer Focus: Building strong customer relationships and delivering customer-centric solutions
- Drives Results: Consistently achieving results, even under tough circumstances
- Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
- Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
- Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
- Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
What Home Depot employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Home Depot
Sourced by ZipRecruiter
The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.
Industry
Retail, manufacturing and personal services
Company size
10,000+ Employees
Headquarters location
Atlanta, GA, US